Kubernetes Platform Engineer – AI Infrastructure
Cisco · San Jose, CA · Product and Engineering
About this role
Cisco is hiring a mid-level Platform Engineer in the software engineering function based in San Jose, CA. The posting calls out experience with Kubernetes, Distributed Systems, API Development, Machine Learning. Compensation is listed at $152,500–$219,200 per year.
- Role
- Platform Engineer
- Function
- software engineering
- Level
- mid
- Track
- Individual contributor
- Employment
- Full-time
- Location
- San Jose, CA
- Department
- Product and Engineering
- Posted
- May 15, 2026
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Job description
from Cisco careersJob posting may be removed earlier if the position is filled or if a sufficient number of applications are received.
Kubernetes Platform Engineer – AI Infrastructure - hybrid (2013055)
***hybrid role - requires some work activity to be on-site in San Jose CA office
Meet the Team
Join our Platform Engineering team to design, build, and operate large-scale, on-prem Kubernetes infrastructure powering next-generation AI/ML platforms, including GPU-enabled environments for traditional models and LLMs. You will lead the technical direction of scalable, reliable systems, managing the Kubernetes control plane and extending platform capabilities through custom controllers and operators. You’ll architect ML platforms, implement Infrastructure as Code with Golang, and drive MLOps best practices. Partnering closely with data scientists and ML engineers, you’ll enable high-performance AI workloads while leveraging AIOps for automation and reliability. This role requires strong hands-on on-prem Kubernetes experience and offers opportunities to mentor engineers and influence platform strategy in a hybrid environment.
Your Impact / Responsibilities as a Kubernetes Platform Engineer, you will:
Design, build, and operate large-scale on-prem Kubernetes platforms (OpenShift/Anthos), with ownership of control plane, etcd, and cluster lifecycle.
Architect scalable, multi-tenant platform infrastructure as the foundation for AI/ML and GenAI workloads.
This is an excerpt. Read the full job description on Cisco careers →